Abstract: In multi-development cascade hydropower systems, the inability to share real-time load data among different stations often leads to challenges such as abnormal water discharge or low water level operations at downstream stations, caused by load fluctuations at upstream stations. This paper introduces a refined real-time load control model designed for cascade hydropower stations in multi-developer contexts, aiming to effectively regulate water levels. The model comprises three integral components: real-time tracking, predictive control, and inplant load distribution. Specifically, the real-time tracking component conducts back-calculations of the inflow discharge every hour, thereby generating a predictive sequence of inflow discharge. The predictive control aspect of the model employs various flow forecasting methodologies, selected based on the standard deviation, to accurately predict inflow discharge. The in-plant load distribution component aims to optimize load distribution with the minimal water consumption,so as to achieve real-time load distribution and maintain water level stability in cascade hydropower stations, particularly when the load and generation flow information from upstream stations remain unknown. The practical application of this real-time load control model is demonstrated in the Muli River cascade hydropower station. Its implementation underscores its significance in guiding real-time load distribution and sustaining water level stability in cascade hydropower stations under multidevelopment scenarios.